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. The role involves both numerical simulation and experimental lab work. Numerical modelling and vibration analysis of a typical CubeSat structure with representative loads will be carried out. This will
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industrial decarbonisation modelling to support the EU-funded FLARE project. The role will lead the technical development and integration of bottom-up, organisation-level decarbonisation models for energy
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include data review and gap analysis, decomposition and simulation modelling using tools such as LEAP Ireland, and supporting the design, testing, and validation of policy-relevant indicators and sectoral
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. The project includes developing coarse-grained models, analysing membrane structure–performance relationships, and integrating simulation results with experimental observations. Experience or a strong interest
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the Sustainability Institute at University College Cork. UCC invites applications for a Postdoctoral Researcher specialising in industrial decarbonisation modelling to support the EU-funded FLARE project. The role
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wider technical team on the Research Ireland–funded RENEW project. The successful candidate will contribute directly to model-based simulation, system prototyping, and physical hardware development
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, resilient networking and fault-tolerant systems (detection, isolation, recovery). Proficiency in Python for rapid prototyping, data analysis, and simulation (e.g., NetworkX, numerical optimization, agent
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. Good communication, organisation and interpersonal skills. A commitment to gaining practical experience working on a research project. Ability to work well within a team. Experience with modelling and
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SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
Experience with experimental characterisation of photonic devices. Experience modelling photonic or optoelectronic systems using tools such as VPIphotonics, or custom Python/MATLAB simulations Experience with
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energy efficiency and intelligent systems for industrial applications. Based within the School of Engineering and Architecture, IERG develops and applies cutting-edge analytics, modelling, and decision